SENTIMENT ANALYSIS ON TWITTER HEALTH NEWS

Authors

Keywords:

Sentiment analysis, Twitter health news, AYLIEN API, Sentiment Polarity and Subjectivity

Abstract

Microblogging has become a generally accepted way of expressing opinions and sentiments about products, services, media, institutions to mention but few. A lot of research has focused on analyzing Twitter health news for topic modelling using various clustering approaches, but few have reported it for sentiment analysis. The fact that such data contains potential information for revealing the opinion of people about health services and behaviours make it an interesting study. In this paper, general sentiments about Twitter health news was investigated. Natural language processing and text mining tool, AYLIEN API was used to
extract sentiments subjectivities and polarities from a previously uncategorized dataset. The result shows that most of the tweets in Twitter health news are objective, that is, expressing facts with an average of 64% objective while 34% are personal views or opinions (subjective) and subjectivity confidence of 0.9. Sentiment polarity reveals 9% positive, 19% negative and 72% neutral with polarity confidence of 0.6.

 

Dimensions

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Published

15-03-2023

How to Cite

SENTIMENT ANALYSIS ON TWITTER HEALTH NEWS. (2023). FUDMA JOURNAL OF SCIENCES, 2(2), 14-20. https://fjs.fudutsinma.edu.ng/index.php/fjs/article/view/1345

Issue

Vol. 2 No. 2 (2018): FUDMA Journal of Sciences - Vol. 2 No. 2

Section

Research Articles
Copyright & Licensing

FUDMA Journal of Sciences

How to Cite

SENTIMENT ANALYSIS ON TWITTER HEALTH NEWS. (2023). FUDMA JOURNAL OF SCIENCES, 2(2), 14-20. https://fjs.fudutsinma.edu.ng/index.php/fjs/article/view/1345